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A comprehensive review on detection of cyber-attacks: Data sets, methods, challenges, and future research directions
Rapid developments in network technologies and the amount and scope of data transferred
on networks are increasing day by day. Depending on this situation, the density and …
on networks are increasing day by day. Depending on this situation, the density and …
A comprehensive survey on SDN security: threats, mitigations, and future directions
Nowadays, security threats on Software Defined Network SDN architectures are similar to
traditional networks. However, the profile of these threats changes with SDN. For example, a …
traditional networks. However, the profile of these threats changes with SDN. For example, a …
A flow-based anomaly detection approach with feature selection method against ddos attacks in sdns
Software Defined Networking (SDN) is an emerging network platform, which facilitates
centralised network management. The SDN enables the network operators to manage the …
centralised network management. The SDN enables the network operators to manage the …
Security and privacy of internet of medical things: A contemporary review in the age of surveillance, botnets, and adversarial ML
Abstract Internet of Medical Things (IoMT) supports traditional healthcare systems by
providing enhanced scalability, efficiency, reliability, and accuracy of healthcare services. It …
providing enhanced scalability, efficiency, reliability, and accuracy of healthcare services. It …
Adversarial Deep Learning approach detection and defense against DDoS attacks in SDN environments
Over the last few years, Software Defined Networking (SDN) paradigm has become an
emerging architecture to design future networks and to meet new application demands. SDN …
emerging architecture to design future networks and to meet new application demands. SDN …
Machine learning approaches for combating distributed denial of service attacks in modern networking environments
A Aljuhani - IEEE Access, 2021 - ieeexplore.ieee.org
A distributed denial of service (DDoS) attack represents a major threat to service providers.
More specifically, a DDoS attack aims to disrupt and deny services to legitimate users by …
More specifically, a DDoS attack aims to disrupt and deny services to legitimate users by …
Cyber-secure SDN: A CNN-based approach for efficient detection and mitigation of DDoS attacks
Abstract Software Defined Networking (SDN) has become popular due to its flexibility and
agility in network management, enabling rapid adaptation to changing business …
agility in network management, enabling rapid adaptation to changing business …
Toward software-defined networking-based IoT frameworks: A systematic literature review, taxonomy, open challenges and prospects
Internet of Things (IoT) is characterized as one of the leading actors for the next evolutionary
stage in the computing world. IoT-based applications have already produced a plethora of …
stage in the computing world. IoT-based applications have already produced a plethora of …
A systematic literature review on machine learning and deep learning approaches for detecting DDoS attacks in software-defined networking
Software-defined networking (SDN) is a revolutionary innovation in network technology with
many desirable features, including flexibility and manageability. Despite those advantages …
many desirable features, including flexibility and manageability. Despite those advantages …
DDoS attacks & defense mechanisms in SDN-enabled cloud: Taxonomy, review and research challenges
Software-defined Networking (SDN) is a transformative approach for addressing the
limitations of legacy networks due to decoupling of control planes from data planes. It offers …
limitations of legacy networks due to decoupling of control planes from data planes. It offers …